[ 
https://issues.apache.org/jira/browse/FLINK-947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14323370#comment-14323370
 ] 

ASF GitHub Bot commented on FLINK-947:
--------------------------------------

Github user mbalassi commented on a diff in the pull request:

    https://github.com/apache/flink/pull/405#discussion_r24778932
  
    --- Diff: flink-staging/flink-linq/pom.xml ---
    @@ -0,0 +1,227 @@
    +<?xml version="1.0" encoding="UTF-8"?>
    +<!--
    +Licensed to the Apache Software Foundation (ASF) under one
    +or more contributor license agreements.  See the NOTICE file
    +distributed with this work for additional information
    +regarding copyright ownership.  The ASF licenses this file
    +to you under the Apache License, Version 2.0 (the
    +"License"); you may not use this file except in compliance
    +with the License.  You may obtain a copy of the License at
    +  http://www.apache.org/licenses/LICENSE-2.0
    +Unless required by applicable law or agreed to in writing,
    +software distributed under the License is distributed on an
    +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    +KIND, either express or implied.  See the License for the
    +specific language governing permissions and limitations
    +under the License.
    +-->
    +<project xmlns="http://maven.apache.org/POM/4.0.0"; 
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
    +   xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 
http://maven.apache.org/maven-v4_0_0.xsd";>
    +
    +   <modelVersion>4.0.0</modelVersion>
    +
    +   <parent>
    +           <groupId>org.apache.flink</groupId>
    +           <artifactId>flink-staging</artifactId>
    +           <version>0.9-SNAPSHOT</version>
    +           <relativePath>..</relativePath>
    +   </parent>
    +
    +   <artifactId>flink-linq</artifactId>
    +   <name>flink-linq</name>
    +
    +   <packaging>jar</packaging>
    +
    +   <dependencies>
    +
    +           <dependency>
    +                   <groupId>org.apache.flink</groupId>
    +                   <artifactId>flink-scala</artifactId>
    +                   <version>${project.version}</version>
    +           </dependency>
    +
    +           <dependency>
    +                   <groupId>org.apache.flink</groupId>
    +                   <artifactId>flink-streaming-scala</artifactId>
    +                   <version>${project.version}</version>
    +           </dependency>
    +
    +           <dependency>
    +                   <groupId>org.apache.flink</groupId>
    +                   <artifactId>flink-scala-examples</artifactId>
    +                   <version>${project.version}</version>
    +           </dependency>
    +
    +           <dependency>
    +                   <groupId>org.scala-lang</groupId>
    +                   <artifactId>scala-reflect</artifactId>
    +           </dependency>
    +
    +           <dependency>
    +                   <groupId>org.scala-lang</groupId>
    +                   <artifactId>scala-library</artifactId>
    +           </dependency>
    +
    +           <dependency>
    +                   <groupId>org.scala-lang</groupId>
    +                   <artifactId>scala-compiler</artifactId>
    +           </dependency>
    +
    --- End diff --
    
    You transitively depend on the scala stuff through flink-scala, so you 
could omit these.


> Add support for "Named Datasets"
> --------------------------------
>
>                 Key: FLINK-947
>                 URL: https://issues.apache.org/jira/browse/FLINK-947
>             Project: Flink
>          Issue Type: New Feature
>          Components: Java API
>            Reporter: Aljoscha Krettek
>            Assignee: Aljoscha Krettek
>            Priority: Minor
>
> This would create an API that is a mix between SQL like declarativity and the 
> power of user defined functions. Example user code could look like this:
> {code:Java}
> NamedDataSet one = ...
> NamedDataSet two = ...
> NamedDataSet result = one.join(two).where("key").equalTo("otherKey")
>   .project("a", "b", "c")
>   .map( (UserTypeIn in) -> return new UserTypeOut(...) )
>   .print();
> {code}



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